Nvidia (NVDA) Cash & Equivalents (2009 - 2026)
Nvidia (NVDA) reported Cash & Equivalents of $22.44 billion for fiscal Q2 2027 (quarter ended Jul 26, 2026), up 92.8% from $11.64 billion a year earlier and up 69.5% from the prior quarter.
Nvidia (NVDA) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 25, 2026), Nvidia posted Cash & Equivalents of $10.61 billion, up 23.5% from FY2025.
- Cash & Equivalents has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 65.8% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $8.59 billion in FY2025 (+18.0%), $7.28 billion in FY2024 (+114.8%), $3.39 billion in FY2023 (+70.3%) and $1.99 billion in FY2022 (+134.9%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Cash & Equivalents in data going back to fiscal Q4 2009.
- Year over year, Cash & Equivalents gained in seven of the last eight quarters, with growth averaging 43.6%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q1 2023 (growth of 297.4%); the low point was fiscal Q2 2023 (a decline of 46.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $13.24 billion (Q1 2027), $10.61 billion (Q4 2026) and $11.49 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | 17.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 22.44 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 23.98 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 7.40 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 38.36 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | 15.17 Bn |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 21.85 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Lam Research | 277.80 Bn | 253.85 Bn | 4.30 Bn | 7.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 22.44 Bn |
| Apr 26, 2026 | 13.24 Bn |
| Jan 25, 2026 | 10.61 Bn |
| Oct 26, 2025 | 11.49 Bn |
| Jul 27, 2025 | 11.64 Bn |
| Apr 27, 2025 | 15.23 Bn |
| Jan 26, 2025 | 8.59 Bn |
| Oct 27, 2024 | 9.11 Bn |
| Jul 28, 2024 | 8.56 Bn |
| Apr 28, 2024 | 7.59 Bn |
| Jan 28, 2024 | 7.28 Bn |
| Oct 29, 2023 | 5.52 Bn |
| Jul 30, 2023 | 5.78 Bn |
| Apr 30, 2023 | 5.08 Bn |
| Jan 29, 2023 | 3.39 Bn |
| Oct 30, 2022 | 2.80 Bn |
| Jul 31, 2022 | 3.01 Bn |
| May 1, 2022 | 3.89 Bn |
| Jan 30, 2022 | 1.99 Bn |
| Oct 31, 2021 | 1.29 Bn |
Nvidia Cash & Equivalents API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=NVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "NVDA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=NVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();